Pinned Repositories
AFB-URR
Official implementation of "Video Object Segmentation with Adaptive Feature Bank and Uncertain-Region Refinement", NeurIPS 2020.
albumentations
fast image augmentation library and easy to use wrapper around other libraries
arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
Augmentor
Image augmentation library in Python for machine learning.
auto-paper-list
A Python tool for automatic constructing and downloading paper list
awesome-self-supervised-learning
A curated list of awesome Self-Supervised methods
baiduyun
🖖油猴脚本 一个脚本搞定百度网盘下载 https://www.baiduyun.wiki
caffemodel2pytorch
Convert Caffe models to PyTorch
CapsNet-Tensorflow
A Tensorflow implementation of CapsNet(Capsules Net) by Hinton in the paper Dynamic Routing Between Capsules
CCNet
CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).
deepcharle's Repositories
deepcharle/arxiv-sanity-preserver
Web interface for browsing, search and filtering recent arxiv submissions
deepcharle/awesome-self-supervised-learning
A curated list of awesome Self-Supervised methods
deepcharle/caffemodel2pytorch
Convert Caffe models to PyTorch
deepcharle/cupy
NumPy-like API accelerated with CUDA
deepcharle/daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
deepcharle/DALI
A library containing both highly optimized building blocks and an execution engine for data pre-processing in deep learning applications
deepcharle/DepthAwareCNN
Depth-aware CNN for RGB-D Segmentation, ECCV 2018
deepcharle/flownet2-pytorch
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
deepcharle/GeoNet
Code for GeoNet: Unsupervised Learning of Dense Depth, Optical Flow and Camera Pose (CVPR 2018)
deepcharle/handong1587.github.io
deepcharle/machine-learning-notes
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (1000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(1000+页)和视频链接
deepcharle/MVOS-OL
Online Meta Adaptation for Fast Video Object Segmentation
deepcharle/Paper_Reading_List
Recommended Papers. Subjects: Computer Vision and Pattern Recognition (cs.CV); Artificial Intelligence (cs.AI); Learning (cs.LG)
deepcharle/PointCNN
PointCNN: Convolution On X-Transformed Points (NIPS 2018)
deepcharle/psa
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018
deepcharle/pwc
Papers with code. Sorted by stars. Updated weekly.
deepcharle/py-thin-plate-spline
Code for computing interpolating / approximating thin plate splines.
deepcharle/Pytorch-Deeplab
DeepLab-ResNet rebuilt in Pytorch
deepcharle/pytorch-inpainting-with-partial-conv
Unofficial pytorch implementation of 'Image Inpainting for Irregular Holes Using Partial Convolutions' [Liu+, ECCV2018]
deepcharle/pytorch-pwc
a reimplementation of PWC-Net in PyTorch that matches the official Caffe version
deepcharle/pytorch-segmentation-toolbox
PyTorch Implementations for DeeplabV3 and PSPNet
deepcharle/pytorch-spynet
a reimplementation of Optical Flow Estimation using a Spatial Pyramid Network in PyTorch
deepcharle/pytorch-unflow
a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version
deepcharle/SemanticSegPaperCollection
deepcharle/temporal-segment-networks
Code & Models for Temporal Segment Networks (TSN) in ECCV 2016
deepcharle/tfoptflow
Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)
deepcharle/tfvos
Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.
deepcharle/twostream-attention
2-stream CNN architectures for action detection and recognition with attention filtering
deepcharle/unsupervised-video
[CVPR 2017] Unsupervised deep learning using unlabelled videos on the web
deepcharle/video-nonlocal-net
Non-local Neural Networks for Video Classification